Top Tech Jobs & Startup Jobs in London

Lead engineering of metadata, meta-modelling, and distributed systems; produce and review secure production Scala/Java code; drive adoption and governance of AI-assisted engineering across the SDLC; influence product design and operations; mentor technical teams; establish automation, validation standards, and reuse of proven patterns.

Lead the design and delivery of metadata, meta-modelling, and distributed systems. Develop and review secure, high-quality Scala/Java production code, adopt AI-assisted engineering practices, improve automation and operational stability, and apply cloud-native and SDLC best practices within an agile team supporting financial services applications.

Lead Data Engineer responsible for designing, building, and maintaining secure, scalable data collection, storage, access, and analytics solutions. Ensure data trustworthiness, create data models, implement backup/recovery/archiving, evaluate access control, and support data platform stability across business functions.

Lead design and delivery of metadata, meta-modelling, and distributed systems. Build secure, high-quality production code, drive adoption of AI-assisted engineering, improve SDLC automation and cloud-native delivery, set validation and governance standards, mentor engineers, and influence product and technical decisions.

Provide legal coverage for equity derivatives and structured products across EMEA, advising trading, structuring and sales teams; draft and negotiate transaction documentation; manage legal, regulatory and reputational risks; collaborate with Compliance and risk functions; oversee external counsel; and drive process and documentation improvements for scalable legal operations.

Lead and scale production management for J.P. Morgan Personal Investing, defining standards for change, incident, capacity, automation and AI-enabled engineering. Build and run a production management function, embed SRE practices across squads, drive automation and resilience, partner with Risk/Compliance, oversee vendor SLAs, and continuously improve incident response and disaster recovery to protect customer-facing digital platforms.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.

Partner with XVA trading and counterparty credit risk to design, develop, and deploy quantitative models and analytics for pricing and risk management. Translate business needs into solutions, provide production support, own implementation with Technology, and drive model governance and validation.

Build and maintain secure, production-ready ML solutions and cloud frameworks using Python and AWS. Collaborate with data scientists, platform teams, SRE, and engineering communities to integrate, deploy, monitor, and scale AIML systems following SDLC and MLOps practices.

Lead onboarding and running equities client billing to the strategic cost & commission calculator. Own monthly billing cycle, transform manual processes into scalable automated solutions, embed controls and documentation, partner with front office, technology, operations and risk, and present progress and metrics to global stakeholders.